Prediction of mine small structure based on grey correlation-BP neural network
In order to predict the small structure parameters of mines,grey correlation analysis was used to rank the parameters of each medium according to the degree of correlation.The medium parameters with high correlation between fault density,fault fractal dimen-sion value,and fault strength index were selected as the main controlling factors.The results indicate that the distribution of fault density was unstable,and the distribution of high value areas of fault strength and fault fractal dimension was relatively concentrated.At the same time,it also reflected areas with large drops,long extensions,high density,and complex fault interlayers.The intensity of tectonic activity was high,and the parameter values of the formed faults were correspondingly large.
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